IOA is a formal language for describing Input/Output automata that serves both as a formal specification language and as a programming language [14]. the IOA compiler automatically translates IOA specifications into J...
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While distributed multi-agent systems are especially suitable for taking advantage of the capacity for evolution and adaptation in ubiquitous computing, writing such programs is a difficult and complicated task if not...
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ISBN:
(纸本)9780889867741
While distributed multi-agent systems are especially suitable for taking advantage of the capacity for evolution and adaptation in ubiquitous computing, writing such programs is a difficult and complicated task if not supported by an agent programming framework. this paper presents a real-time agent service layer (RT-ASL) that is built on an existing de facto standard for interconnecting distributed objects, CORBA middleware. RT-ASL enables programmers to write distributed cooperative application programs for ubiquitous computing using a high-level abstraction of software agents. As criteria for designing RT-ASL on CORBA, we have made four important decisions regarding the message passing communication mechanism for agent communications, agent service discovery mechanism, real-time agent communication language, and real-time generic scheduling interfaces. this paper justifies the importance of such design decisions and how they can effectively deal withthe complicated difficulties.
Pervasive Grid computing Platforms include centralized computing nodes (e.g. parallel servers) as well as decentralized and mobile devices. Pervasive Grid applications include data-and computing-intensive components w...
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ISBN:
(纸本)9780769539393
Pervasive Grid computing Platforms include centralized computing nodes (e.g. parallel servers) as well as decentralized and mobile devices. Pervasive Grid applications include data-and computing-intensive components which can be mapped also onto decentralized and mobile nodes. the effective and practical success of this mapping resides also in deriving proper configurations of applications which consider the limited memory capabilities of those resources. In this paper we target this issue by showing how we can study and configure the memory requirements of an Emergency Management application. We present our solutions by using the ASSISTANT programming model for Pervasive Grid applications.
A self adaptive communication protocol is proposed for peer to peer distributedcomputing. this protocol can configure itself automatically in function of application requirements and topology changes by choosing the ...
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ISBN:
(纸本)9780769539393
A self adaptive communication protocol is proposed for peer to peer distributedcomputing. this protocol can configure itself automatically in function of application requirements and topology changes by choosing the most appropriate communication mode between peers. the protocol was designed in order to be used in conjunction with a decentralized environment for high performance distributedcomputing. A first set of computational experiments is also presented and analyzed for an optimization application, i.e. nonlinear network flow problems.
An optimal mobile agent moving policy for a mobile agent network where a single mobile agent moves and collects management information, is studied. the network has one management station that maintains many network el...
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ISBN:
(纸本)9780889867048
An optimal mobile agent moving policy for a mobile agent network where a single mobile agent moves and collects management information, is studied. the network has one management station that maintains many network elements each of which generates the management information (e.g., the updated state of the element). We formulate this network model as a semi-Markov decision process (SMDP) and compute an optimal policy with a policy iteration algorithm. It is shown that an optimal mobile agent moving policy achieved by the policy iteration algorithm has a cost reduction effect for the network in comparison to a heuristic policy.
the 2024 DEBS Grand Challenge addresses the topic of hard drive failure predictive maintenance, through analysis of data streams that contain SMART readings, reported by drives located in different groups of storage s...
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ISBN:
(纸本)9798400704437
the 2024 DEBS Grand Challenge addresses the topic of hard drive failure predictive maintenance, through analysis of data streams that contain SMART readings, reported by drives located in different groups of storage servers. this paper details the technical implementation of a solution that focuses primarily on parallelizing the data stream processing to obtain vertical scalability. When processing two queries concerning the addressed topic, and setting a threshold of a maximum 16 ms latency for responding, our solution obtained a throughput of about 57% out of the maximum possible when no processing is made on the data stream. We also describe an initial work-in-progress implementation of a distributed extension that relies on Apache Kafka, meant to further scale the throughput of the parallel solution and to address possible failure conditions of retrieving the input stream.
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